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Field
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control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance the safety and robustness of human-robot interaction. The successful applicant will engage
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innovative material solutions. This project tackles this challenge head-on. The project vision is to develop a pioneering AI-driven methodology for designing Functionally Graded Materials (FGMs) specifically
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(100%, TV-L) is available starting immediately. 16.04.2025, Wissenschaftliches Personal The position in the group of Prof. Dr. Barbara Wohlmuth is a project-independent research position without
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collaboration with Prof. Giovanna Tinetti and her team and collaborators at KCL. The main purpose of this role is to develop new and/or to use existing models to simulate the atmospheres of exoplanets and use
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change how we explore space by developing innovative theories, algorithms, and technologies. Position is contingent upon availability of funds and proper Visa paperwork, to be able to work in US. Position
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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, synthetic aperture radar, and optical spectroscopy, while bringing new capabilities in areas such as innovative sensor development, retrieval algorithms, novel applications, and other forward-looking areas
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Computational imaging: seeing beyond the capabilities of conventional optics School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Andrew Maiden Application Deadline
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techniques, would be an advantage. The ideal candidate will have a deep interest in the algorithms that power graphics and a creative mindset, eager to think outside the box and develop novel solutions
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decision with multiple data sources. One example is to develop the semi-supervised methods and dynamic system interfacing algorithms to produce an automated and real-time information exchange across